prompt-evaluation

To evaluate prompt quality, analyze the prompt against criteria including clarity, specificity, context, constraints, and examples, then apply a self-critique mechanism to score and identify potential issues for improvement.

Chain-of-Verification is a self-critique mechanism that evaluates prompt quality by identifying potential issues and suggesting improvements, resulting in more predictable and accurate AI outputs.

Refine prompts by evaluating them against predefined criteria like clarity and constraints, followed by a self-critique process that scores the prompt and highlights areas needing improvement for better AI performance.

Yes, you can evaluate prompt files by specifying the file path, such as analyzing the prompt in the file '.github/prompts/api-design.prompt.md' to assess its quality and effectiveness.

Yes, prompt evaluation requires the @chain-of-verification/core dependency to execute its self-critique mechanism and accurately score prompt quality across multiple criteria.

Use structured prompt evaluation when struggling to get consistent AI results, as it provides a systematic analysis of clarity, specificity, context, constraints, and examples rather than relying on manual trial and error.